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        Textile and machine learning: A Bibliometric analysis: Textil y aprendizaje automático: un análisis bibliométricoTextile and machine learning: A Bibliometric analysis: Textil y aprendizaje automático: un análisis bibliométrico 

        Umaquinga, Ana; Naranjo Toro, Marco; GODOY COLLAGUAZO, OMAR (Editorial de la Universidad Tecnica del Norte, 2022)

        Machine learning techniques to predict overweight or obesity 

        Universidade Estadual Paulista (UNESP); University of Taubaté (UNITAU) (2021-01-01)
        Overweight and obesity are considered a public health problem, as they are related to the risk of various diseases, and also to the risk of increased morbidity and mortality. The main objective of this work was to apply ...

        Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy 

        dos Santos Pereira, Alexandre; Carneiro Gonçalves, Marcelo; Oscar Benitez Nara, Elpidio; de Freitas Ferraz, Thales (UFRGS, 2023)

        Step Characterization using Sensor Information Fusion and Machine Learning 

        Anacleto, Ricardo; Figueiredo, Lino
        A pedestrian inertial navigation system is typically used to suppress the Global Navigation Satellite System limitation to track persons in indoor or in dense environments. However, low- cost inertial systems provide huge ...

        HOW FAR do WE GET USING MACHINE LEARNING BLACK-BOXES? 

        Universidade Estadual de Campinas (UNICAMP); Universidade Estadual Paulista (Unesp) (World Scientific Publ Co Pte Ltd, 2012-03-01)
        With several good research groups actively working in machine learning (ML) approaches, we have now the concept of self-containing machine learning solutions that oftentimes work out-of-the-box leading to the concept of ...

        Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI 

        Universidade Estadual Paulista (UNESP); College of Technology (2020-01-01)
        Select from the best features in a complex dataset that is a critical task for machine learning algorithms. This work presents a comparative analysis between two resource selection techniques: Minimum Redundancy Maximum ...

        Elliot and symmetric elliot extreme learning machines for Gaussian noisy industrial thermal modelling 

        Salmeron J.L.; Ruiz-Celma A. (MDPI AG, 2019)

        A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines 

        Universidade Federal de São Carlos (UFSCar); Universidade Estadual Paulista (Unesp) (Elsevier B.V., 2020-12-01)
        Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results concerning a variable range of domains. One of the main shortcomings ...

        A machine learning strategy for computing interface curvature in Front-Tracking methods 

        Universidade de São Paulo (USP); Universidade Estadual Paulista (UNESP) (2022-02-01)
        In this work we have described the application of a machine learning strategy to compute the interface curvature in the context of a Front-Tracking framework. Based on angular information of normal and tangential vectors ...

        Optimal transport for machine learning: theory and applications 

        Barreira, Davi Sales (2021-03-25)
        O que os operadores de produção de petróleo valorizam ao comprar produtos químicos?: uma análise sobre a percepção de valor na decisão de compra ou contratação de um provedor de especialidades químicas no mercado de óleo ...
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        Red de Repositorios Latinoamericanos
        + of 8.000.000
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        Dirección de Servicios de Información y Bibliotecas (SISIB)
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        Featured collections
        • Latin American Theses
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        • Argentina
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        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018